MSCS: Recent submissions

  • Behavioral Mapping of Alf and Java 
    Khan, Maryam; Supervised by Dr. Tauseef Ahmed Rana. (MCS, 2020-09)
    The practice of reusing code has led the way towards the need for reverse engineering of software systems. The reverse engineering of heterogeneous, complex and large software’s is a tricky process which is time taking and ...
  • Terrorist Group Classification using Logistic Regression 
    Munir, Muhammad Umar; Supervised by Dr. Naima Iltaf. (MCS, 2020-06)
    Terrorism is a global challenge and the responsible terrorist groups has become global enemies. The world most challenging threat nowadays are these deadly terrorist attacks which carried out by these well-organized terrorist ...
  • A Model-Driven Framework for the Development of MVC Based (WEB) Application 
    Ahmad, Sheikh Israr; Supervised by Dr. Tauseef Ahmed Rana. (MCS, 2020-09)
    Model-Driven Engineering (MDE) is a renowned software engineering methodology for design and development of software system with the help of various type of models; these models help to support and exchange information ...
  • MVC Based Composite Design Pattern For Modern Day Web Applications 
    Tariq, Muhammad Abdullah; Supervised by Dr. Tauseef Ahmed Rana. (MCS, 2020-09)
    Legacy systems are existing running systems which are very important for an organization. They play a vital role in the organizations day to day working. Due to the rapid advancement in technology, working with these systems ...
  • Correcting noisy ratings in collaborative recommander system 
    Shabbir, Shumaila; Supervised by Dr. Naima Iltaf (MCS, 2017-07)
    Recommender systems facilitates to improve customers experience by providing them, with the suggestions they might need. These systems store user preferences in form of ratings to suggest other users with similar interest ...
  • Extension of Semantic Based Urdu Linguistic Resources Using Natural Language Processing Techniques 
    Khalid, Komal; Supervised by Dr. Hammad Afzal (MCS, 2016-08)
    Urdu is the 8th largest spoken language in the world with more than 140 million speakers in subcontinent. It is national language of Pakistan and official language of six Indian states. Despite its abundant usage, the ...
  • Educational Data Mining for Outcome Based Education System 
    Adil, Mahum; Supervised by Dr. Seemab Latif (MCS, 2016-10)
    Outcome Based Education focuses on the performance of students in term of skills, knowledge and capability over 4 year degree plan. Unfortunately to achieve the intended learning outcomes of a course, students always seems ...
  • Dispute Analysis and Reporting in VoIP Wholesale CDR using Big Data Techniques 
    Yaqoob, Nazish; Supervised by Dr. Seemab Latif (MCS, 2016-10)
    The VoIP industry has grown immensely and it is predicted to grow with double the rate in coming years. The impact of VoIP growth on economy is treasured. The growth of VoIP industry has also increased the volume of data, ...
  • Bridging the Data Islands through Autonomous Ontology Creation in Crime Cloud 
    Masood, Mina; Supervised by Dr. Tauseef Ahmed Rana (MCS, 2016-08)
    The research aims at minimizing the gap between scattered data at different locations. Its proof of concept application focuses at investigating the problems of reporting crime by the individuals of Pakistan and then to ...
  • Formalization to migrate a system from object oriented architecture to service oriented architecture 
    Khurshid, Sundus; Supervised by Dr. Tauseef Ahmad Rana (MCS, 2017-08)
    Service-oriented architecture is becoming popular now a days because of its structure which exposes the hidden functions within the applications and attempts to open them for all applications. In this research, the framework ...
  • Exception Handling Model for Ex-Man Component Model 
    Qureshi, Tehreem; Supervised by Dr. Tauseef Ahmed Rana. (MCS, 2020-09)
    Exception handling is no longer an additional part to implement in the development of software systems. It is as essential as any other major process involved in the software development. Techniques have been proposed and ...
  • X-MAN System modelling and verification through automated theorem proving 
    Tabbasum, Saher; Supervised by Dr. Tauseef Rana (MCS, 2017-08)
    Component-Based Development (CBD) is a promising software development paradigm claiming development of cost-effective, highly productive, and time-saving software systems. Constructing a large and complex software system ...
  • Spatial-Temporal Political Event Analysis Based On Social Web 
    Javed, Iqra; Supervised by Dr. Hammad Afzal (MCS, 2014-08)
    This thesis presents an approach towards bilingual sentiment analysis of short messages data retrieved from twitter. Social networks evolved to become one of the most advanced and widespread communication medium of the ...
  • Application of Machine Learning Algorithms for Classification of DDOS Attacks on WSN Networks 
    Usman, Muhammad; Supervised by Dr. Seemab Latif (MCS, 2016-08)
    Machine learning is one of the most speedily evolving domains of computer science and its application for detection of network attacks has proved to be a great help in prevention of such attacks. DDoS is a class of attacks ...
  • A Multilingual Framework for Identification and Categorization of Hate Speech and Abusive Language 
    Qamar, Muhammed Hamza; Supervised by Dr. Hammad Afzal. (MCS, 2020-09)
    According to the rule of law, |a hate speech is a speech that attacks an individual or group of individuals on the basis of religious orientation, race, gender, disability, national origin and ethnic origin.” The definition ...
  • Incorporating test ability in software requirement engineering process 
    Butt, Marryam Ejaz; Supervised by Dr. Naima Iltaf (MCS, 2017-08)
    Failure of software projects has always been a matter of concern for the software industry and the research states that insufficient testing of requirements happens to be the major reason behind it. The idea of testing the ...
  • Enhanced Expert Systems for Medical Diagnostic Using Data Mining 
    Jahangir, Maham; Supervised by Dr. Hammad Afzal (MCS, 2016-06)
    Machine learning algorithms have great potential for exploring the hidden patterns in the data sets of the medical domain. These patterns can be utilized for clinical diagnosis. Since medical diagnostic decision support ...
  • Automatic extraction of crime news from Urdu news headlines 
    Ishaq, Muneeba; Supervised by Dr. Seemab Latif (MCS, 2014-09)
    This research explores the strength and usefulness of text mining process in extracting and identifying the crime news from online Urdu news headlines. News classification is one of the important application areas of text ...
  • A Contrast Enhancement Framework with JPEG Artifacts Suppression 
    Sohail, Muhammad; Supervised by Dr. Naima Iltaf (MCS, 2016-08)
    This thesis is aimed to propose the image contrast enhancement method based on the decomposition of image into two layers i.e, at texture and structure layer. Contrast enhancement being the widely used tool in computer ...
  • Long Short Term Memory (LSTM) Neural Nodes for Spatio Temporal Analysis For Distractor Sequence Recall Task 
    Ishfaq Hussain, Muhammad; Supervised by Dr. Ahmad Muqeem Sheri (MCS, 2016-03)
    Many learning tasks require dealing with the temporal and spatial analysis of data. Neural Networks are more powerful learning algorithms that are producing the amazing results in a wide range of supervised and unsupervised ...

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